Bibliographic record
Abstract
In recent years, the concept of the prosumer has garnered extensive attention across various fields, including marketing, energy consumption, and innovation research. This attention is driven by the significant role prosumers play in developing more efficient, sustainable, and health-conscious market systems, propelled by advancements in social and technological domains. Broadly defined, a prosumer is an individual who acts as both a producer and a consumer. Originally coined by Toffler in the 1980s, the term describes individuals who blur the lines between producers and consumers by engaging in the creation of value for their own use or for others. Prosumers are seen as external partners who participate in co-creation processes with organizations, contributing to innovative outcomes and the production of the products and services they consume. The concept of the prosumer, individuals who simultaneously act as producers and consumers, has gained significant attention across various sectors. This entry explores the evolving role and impact of prosumers on sustainability, innovation, and market dynamics. A comprehensive literature review and empirical analysis were conducted to understand prosumer behavior and contributions. The findings reveal that the prosumers’ roles range from significantly enhancing sustainability by generating renewable energy to promoting personalized education via teacher–prosumer models. They also drive technological advancements in fields such as 3D printing and cryptocurrency. The study concludes that prosumers have the potential to foster a more resilient and inclusive economy, although challenges such as regulatory barriers and technological dependencies must be addressed to fully leverage their contributions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.017 | 0.017 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.035 | 0.010 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".